Graph neural networks in IoT: A survey

G Dong, M Tang, Z Wang, J Gao, S Guo, L Cai… - ACM Transactions on …, 2023 - dl.acm.org
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily
lives: healthcare, environment, transportation, manufacturing, supply chain, and so on. With …

EHDHE: Enhancing security of healthcare documents in IoT-enabled digital healthcare ecosystems using blockchain

P Sharma, S Namasudra, RG Crespo… - Information …, 2023 - Elsevier
Nowadays, blockchain technology is one of the advanced technologies to ensure the
security of users' sensitive or confidential data. Blockchain technology plays a vital role in …

Blockchain-based privacy preservation for IoT-enabled healthcare system

P Sharma, S Namasudra, N Chilamkurti… - ACM Transactions on …, 2023 - dl.acm.org
Blockchain technology provides a secure and reliable platform for managing data in various
application areas, such as supply chain management, multimedia, financial sector, food …

A review of federated learning in energy systems

X Cheng, C Li, X Liu - 2022 IEEE/IAS industrial and commercial …, 2022 - ieeexplore.ieee.org
With increasing concerns for data privacy and ownership, recent years have witnessed a
paradigm shift in machine learning (ML). An emerging paradigm, federated learning (FL) …

Artificial intelligence-based creative thinking skill analysis model using human–computer interaction in art design teaching

X Fan, X Zhong - Computers and Electrical Engineering, 2022 - Elsevier
Due to the rapid growth of network technology, its openness and sharing capabilities and
interaction have helped change the art education model for the better. Increased science …

Consumers profiling based federated learning approach for energy load forecasting

A Dogra, A Anand, J Bedi - Sustainable Cities and Society, 2023 - Elsevier
Energy load estimation is critical for the smooth functioning of several activities, such as
reliable supply, reduced wastage, decision making and generation planning tasks. So far …

A novel technique for accelerating live migration in cloud computing

A Gupta, S Namasudra - Automated Software Engineering, 2022 - Springer
Currently, cloud computing is being used in many scientific areas like geoscience, DNA
sequencing, healthcare, and many more. In a cloud computing environment, a Virtual …

Lightweight and efficient privacy‐preserving mutual authentication scheme to secure Internet of Things‐based smart healthcare

S Das, S Namasudra - Transactions on Emerging …, 2023 - Wiley Online Library
In recent years, Internet of Things (IoT) technology has been adopted in numerous
application areas, such as healthcare, agriculture, industrial automation, and many more …

Detecting malignant leukemia cells using microscopic blood smear images: a deep learning approach

R Baig, A Rehman, A Almuhaimeed, A Alzahrani… - Applied Sciences, 2022 - mdpi.com
Leukemia is a form of blood cancer that develops when the human body's bone marrow
contains too many white blood cells. This medical condition affects adults and is considered …

Data aging matters: Federated learning-based consumption prediction in smart homes via age-based model weighting

K Skianis, A Giannopoulos, P Gkonis, P Trakadas - Electronics, 2023 - mdpi.com
Smart homes, powered mostly by Internet of Things (IoT) devices, have become very
popular nowadays due to their ability to provide a holistic approach towards effective energy …